Service provider system and service provider method

    公开(公告)号:US09904739B2

    公开(公告)日:2018-02-27

    申请号:US14549561

    申请日:2014-11-21

    CPC classification number: G06F17/30923 H04L67/16 H04L67/42

    Abstract: A service provider system and a service provider method are disclosed herein. The service provider system includes a service provider device and a mobile device. The mobile device includes a network module, a processing module and a storage module. The network module of the mobile device connects to the service provider device through a wireless network and receives a service description file provided by the service provider device. The processing module is configured to execute a program code stored in the storage module so as to implement a synthesizing method of an application program. The synthesizing method includes the following steps: parsing multiple service description data from the service description file; and generating an application program corresponding to the service description file according to the service description data and a resource list corresponding to the mobile device.

    Recommendation System, Method and Non-Transitory Computer Readable Storage Medium for Storing Thereof
    2.
    发明申请
    Recommendation System, Method and Non-Transitory Computer Readable Storage Medium for Storing Thereof 有权
    推荐用于存储的系统,方法和非暂时性的计算机可读存储介质

    公开(公告)号:US20150106374A1

    公开(公告)日:2015-04-16

    申请号:US14088534

    申请日:2013-11-25

    CPC classification number: G06Q30/02

    Abstract: A recommendation method includes providing an ontology database, in which the ontology database includes a plurality of entities, and the entities are arranged in an ontology hierarchy structure with N hierarchy levels; storing a plurality of jth level user data respectively corresponding to a plurality of users; generating a plurality of kth level user data according to the jth level user data respectively; clustering the kth level user data; and recommending the entities in the ontology database to the users according to a clustering result.

    Abstract translation: 推荐方法包括提供本体数据库,其中本体数据库包括多个实体,并且实体被布置在具有N层级的本体层次结构中; 存储分别对应于多个用户的多个第j级用户数据; 根据第j级用户数据生成多个第k级用户数据; 对第k级用户数据进行聚类; 并根据聚类结果向用户推荐本体数据库中的实体。

Patent Agency Ranking